{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2017:XMFWKIFXAHRVQ2UCKQMLJRGSTJ","short_pith_number":"pith:XMFWKIFX","schema_version":"1.0","canonical_sha256":"bb0b6520b701e3586a825418b4c4d29a49ad83187b220899eb516a6d5c145c31","source":{"kind":"arxiv","id":"1712.00180","version":2},"attestation_state":"computed","paper":{"title":"New Techniques for Inferring L-Systems Using Genetic Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Ian McQuillan, Jason Bernard","submitted_at":"2017-12-01T03:55:59Z","abstract_excerpt":"Lindenmayer systems (L-systems) are a formal grammar system that iteratively rewrites all symbols of a string, in parallel. When visualized with a graphical interpretation, the images have self-similar shapes that appear frequently in nature, and they have been particularly successful as a concise, reusable technique for simulating plants. The L-system inference problem is to find an L-system to simulate a given plant. This is currently done mainly by experts, but this process is limited by the availability of experts, the complexity that may be solved by humans, and time. This paper introduce"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1712.00180","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2017-12-01T03:55:59Z","cross_cats_sorted":[],"title_canon_sha256":"42b127d7c999b6990749e18d08a39b7a205f17a5a14fdbe0adc59ebfed650a54","abstract_canon_sha256":"5c1655f1190cfd55ad2dc1d947dbb376b730675368af324e219421d003e6f392"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:29:00.751935Z","signature_b64":"ym8j2J2aYZxjT5VJNcN8rWGECnbRiNpLKSU7NcDS2hkEeLwTGiudBOAcHLX+qYDoM2AEf6ZXUzrOV93scm/3Cw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"bb0b6520b701e3586a825418b4c4d29a49ad83187b220899eb516a6d5c145c31","last_reissued_at":"2026-05-18T00:29:00.751421Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:29:00.751421Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"New Techniques for Inferring L-Systems Using Genetic Algorithm","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Ian McQuillan, Jason Bernard","submitted_at":"2017-12-01T03:55:59Z","abstract_excerpt":"Lindenmayer systems (L-systems) are a formal grammar system that iteratively rewrites all symbols of a string, in parallel. When visualized with a graphical interpretation, the images have self-similar shapes that appear frequently in nature, and they have been particularly successful as a concise, reusable technique for simulating plants. The L-system inference problem is to find an L-system to simulate a given plant. This is currently done mainly by experts, but this process is limited by the availability of experts, the complexity that may be solved by humans, and time. This paper introduce"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1712.00180","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1712.00180","created_at":"2026-05-18T00:29:00.751508+00:00"},{"alias_kind":"arxiv_version","alias_value":"1712.00180v2","created_at":"2026-05-18T00:29:00.751508+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1712.00180","created_at":"2026-05-18T00:29:00.751508+00:00"},{"alias_kind":"pith_short_12","alias_value":"XMFWKIFXAHRV","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_16","alias_value":"XMFWKIFXAHRVQ2UC","created_at":"2026-05-18T12:31:56.362134+00:00"},{"alias_kind":"pith_short_8","alias_value":"XMFWKIFX","created_at":"2026-05-18T12:31:56.362134+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XMFWKIFXAHRVQ2UCKQMLJRGSTJ","json":"https://pith.science/pith/XMFWKIFXAHRVQ2UCKQMLJRGSTJ.json","graph_json":"https://pith.science/api/pith-number/XMFWKIFXAHRVQ2UCKQMLJRGSTJ/graph.json","events_json":"https://pith.science/api/pith-number/XMFWKIFXAHRVQ2UCKQMLJRGSTJ/events.json","paper":"https://pith.science/paper/XMFWKIFX"},"agent_actions":{"view_html":"https://pith.science/pith/XMFWKIFXAHRVQ2UCKQMLJRGSTJ","download_json":"https://pith.science/pith/XMFWKIFXAHRVQ2UCKQMLJRGSTJ.json","view_paper":"https://pith.science/paper/XMFWKIFX","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1712.00180&json=true","fetch_graph":"https://pith.science/api/pith-number/XMFWKIFXAHRVQ2UCKQMLJRGSTJ/graph.json","fetch_events":"https://pith.science/api/pith-number/XMFWKIFXAHRVQ2UCKQMLJRGSTJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XMFWKIFXAHRVQ2UCKQMLJRGSTJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XMFWKIFXAHRVQ2UCKQMLJRGSTJ/action/storage_attestation","attest_author":"https://pith.science/pith/XMFWKIFXAHRVQ2UCKQMLJRGSTJ/action/author_attestation","sign_citation":"https://pith.science/pith/XMFWKIFXAHRVQ2UCKQMLJRGSTJ/action/citation_signature","submit_replication":"https://pith.science/pith/XMFWKIFXAHRVQ2UCKQMLJRGSTJ/action/replication_record"}},"created_at":"2026-05-18T00:29:00.751508+00:00","updated_at":"2026-05-18T00:29:00.751508+00:00"}